Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science [PDF]
Scientific ReportsThe rapid growth of astronomical imaging data from next-generation surveys necessitates automated and scalable approaches to galaxy morphology classification that transcend the limitations of supervised methods requiring manual labels.
I. M. Selim +3 more
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Mid-Infrared Galaxy Morphology from the Spitzer Survey of Stellar Structure in Galaxies (S^4G): The Imprint of the de Vaucouleurs Revised Hubble-Sandage Classification System at 3.6 microns [PDF]
The Astrophysical Journal Supplement Series, 2010 <p>Published - <a href="/records/2agey-xff81/files/Buta2010p11582Astrophys_J_Suppl_S.pdf?download=1">Buta2010p11582Astrophys_J_Suppl_S.pdf</a></p>
Buta, Ronald J. +20 more
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The JWST Hubble Sequence: The Rest-frame Optical Evolution of Galaxy Structure at 1.5 < z < 6.5
The Astrophysical Journal, 2023 We present results on the morphological and structural evolution of a total of 3956 galaxies observed with JWST at 1.5 < z < 6.5 in the JWST CEERS observations that overlap with the CANDELS EGS field.
Leonardo Ferreira +15 more
doaj +1 more source
Translators of Galaxy Morphology Indicators between Observation and Simulation
The Astrophysical Journal, 2023 Based on the recent advancements in numerical simulations of galaxy formation, we anticipate the achievement of realistic models of galaxies in the near future.
J. K. Jang +11 more
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The Astrophysical Journal, 2023 We investigate the relationship between environment, morphology, and the star formation rate (SFR)–stellar mass relation derived from a sample of star-forming (SF) galaxies (commonly referred to as the “star formation main sequence”, SFMS) in the COSMOS ...
Kevin C. Cooke +8 more
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Evolution of Nonparametric Morphology of Galaxies in the JWST CEERS Field at z ≃ 0.8–3.0
The Astrophysical Journal, 2023 Galaxy morphology is one of the most fundamental ways to describe galaxy properties, but the morphology we observe may be affected by wavelength and spatial resolution, which may introduce systematic bias when comparing galaxies at different redshift ...
Yao Yao +5 more
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Cooperation of knowledge based systems for galaxy classification [PDF]
, 1995 Astronomical observing systems provide astronomers with a great amount of high quality data. Thus, there is a need for automating data processing. In this paper, we are interested in the galaxy classification problem which is important for universe understanding. The classification consists of two main steps: parameter extraction for object description
Jean-Christophe Ossola, Monique Thonnat
openaire +2 more sources
Dynamical Hotness, Star Formation Quenching, and Growth of Supermassive Black Holes
The Astrophysical Journal, 2023 A stellar system is dynamically hot when its kinetic energy is dominated by random motion represented by the velocity dispersion σ _hot . We use MaNGA data to obtain the inner and outer dispersion of a galaxy, σ _in and σ _out , to characterize its ...
Hui Hong +10 more
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The fundamental properties of galaxies and a new galaxy classification system [PDF]
Monthly Notices of the Royal Astronomical Society, 2006 We present in this paper a new three-dimensional galaxy classification system designed to account for the diversity of galaxy properties in the nearby universe. To construct this system we statistically analyse a sample of >22,000 galaxies at v<15,000 km/s (z<0.05) with Spearman rank and principal component analyses.
openaire +2 more sources
CEERS Key Paper. III. The Diversity of Galaxy Structure and Morphology at z = 3–9 with JWST
The Astrophysical Journal Letters, 2023 We present a comprehensive analysis of the evolution of the morphological and structural properties of a large sample of galaxies at z = 3–9 using early James Webb Space Telescope (JWST) CEERS NIRCam observations. Our sample consists of 850 galaxies at z
Jeyhan S. Kartaltepe +61 more
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